Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation
Understanding of the glucose risk factors-mediated mechanism in human breast cancer remains challenging. In this perception, for the first time, we proposed a complex nonlinear dynamical model that may provide a basic insight into the mechanism of breast cancer for the patient with existing glucose...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/19/3640 |
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| author | Abeer Hamdan Alblowy Normah Maan Sana Abdulkream Alharbi |
| author_facet | Abeer Hamdan Alblowy Normah Maan Sana Abdulkream Alharbi |
| author_sort | Abeer Hamdan Alblowy |
| collection | DOAJ |
| description | Understanding of the glucose risk factors-mediated mechanism in human breast cancer remains challenging. In this perception, for the first time, we proposed a complex nonlinear dynamical model that may provide a basic insight into the mechanism of breast cancer for the patient with existing glucose risk factors. The impact of glucose risk factors on the cancer cells’ population is evaluated using the formulated analytical model. The dynamical features of the cancer cells are described by a system of ordinary differential equations. Furthermore, the Routh–Hurwitz stability criterion is used to analyze the dynamical equilibrium of the cells’ population. The occurrence of zero bifurcation as well as two and three of the Jacobian matrix are obtained based on the sums of principal minors of order one. The glucose risk factors are exploited as the bifurcation parameters (acted as necessary and sufficient conditions) to detect the Hopf bifurcation. The presence of excess glucose in the body is found to affect negatively the breast cancer cells’ dynamics, stimulating chaos in the normal and tumor cells and thus drastically deteriorating the efficiency of the human immune system. The theoretical results are validated using the numerical simulations. It is concluded that the present findings may be beneficial for the future breast cancer therapeutic drug delivery and cure. |
| first_indexed | 2024-03-09T21:27:37Z |
| format | Article |
| id | doaj.art-8077ddb6cbce4d529948dc70cd596755 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T21:27:37Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-8077ddb6cbce4d529948dc70cd5967552023-11-23T21:04:56ZengMDPI AGMathematics2227-73902022-10-011019364010.3390/math10193640Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model EvaluationAbeer Hamdan Alblowy0Normah Maan1Sana Abdulkream Alharbi2Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaDepartment of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, MalaysiaDepartment of Mathematics and Statistics, College of Science, Taibah University, Yanbu 41911, Saudi ArabiaUnderstanding of the glucose risk factors-mediated mechanism in human breast cancer remains challenging. In this perception, for the first time, we proposed a complex nonlinear dynamical model that may provide a basic insight into the mechanism of breast cancer for the patient with existing glucose risk factors. The impact of glucose risk factors on the cancer cells’ population is evaluated using the formulated analytical model. The dynamical features of the cancer cells are described by a system of ordinary differential equations. Furthermore, the Routh–Hurwitz stability criterion is used to analyze the dynamical equilibrium of the cells’ population. The occurrence of zero bifurcation as well as two and three of the Jacobian matrix are obtained based on the sums of principal minors of order one. The glucose risk factors are exploited as the bifurcation parameters (acted as necessary and sufficient conditions) to detect the Hopf bifurcation. The presence of excess glucose in the body is found to affect negatively the breast cancer cells’ dynamics, stimulating chaos in the normal and tumor cells and thus drastically deteriorating the efficiency of the human immune system. The theoretical results are validated using the numerical simulations. It is concluded that the present findings may be beneficial for the future breast cancer therapeutic drug delivery and cure.https://www.mdpi.com/2227-7390/10/19/3640nonlinear dynamical modelbreast cancerglucose risk factorstabilitybifurcationchaos |
| spellingShingle | Abeer Hamdan Alblowy Normah Maan Sana Abdulkream Alharbi Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation Mathematics nonlinear dynamical model breast cancer glucose risk factor stability bifurcation chaos |
| title | Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation |
| title_full | Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation |
| title_fullStr | Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation |
| title_full_unstemmed | Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation |
| title_short | Role of Glucose Risk Factors on Human Breast Cancer: A Nonlinear Dynamical Model Evaluation |
| title_sort | role of glucose risk factors on human breast cancer a nonlinear dynamical model evaluation |
| topic | nonlinear dynamical model breast cancer glucose risk factor stability bifurcation chaos |
| url | https://www.mdpi.com/2227-7390/10/19/3640 |
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